# Single-Episode Diagnostics Index These outputs are local diagnostics built from the existing one-episode Xperience-10M artifacts. They are designed for manual verification while waiting for full multi-episode data access. ## Generated Analyses - `modality_ablation/`: compact ridge-head ablations across real feature blocks. - `timeline_overlay/`: existing prediction CSVs aligned to the episode timeline. - `alignment_stress/`: cross-modal retrieval under explicit time-shift perturbations. - `provenance.json`: input hashes, feature dimensions, and source artifact identifiers. ## Validity Boundaries - This is a single-episode diagnostic, not a full Xperience-10M benchmark. - Rows marked `not_computed` are intentionally left blank when train labels or valid splits are unavailable. - Rows marked `derived_perturbation` use real features with deliberate time shifts for stress testing. ## Counts - Ablation rows: 108; computed: 108. - Timeline overlay rows: 2079. - Alignment stress rows: 54. - Shared feature shape: 1161 windows x 8546 features.